I am a postdoctoral fellow in the lab of Arnold Kriegstein at the University of California, San Francisco (UCSF). I focus on applying single-cell genomics techniques to study the development of specific cell types of the human brain, as well as to understand how these cell types are affected in various diseases, especially autism. Before starting my work at UCSF, I did my PhD at the University of Miami focusing on genomic analysis of autism. I did my B.S. and MS at Moscow State University in my native Russia, where I worked on animal models of epilepsy and Alzheimer’s disease.
Dmitry Velmeshev
Postdoctoral Scholar
University of California, San Francisco
From this contributor
Single-cell analysis suggests brain signaling problems in autism
Recent advances in technology allow researchers to measure RNA that is contained within the nucleus of a single brain cell.
Single-cell analysis suggests brain signaling problems in autism
Explore more from The Transmitter
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.